1.
ALL ABOUT ARTIFICIAL INTELLIGENCE
KIRAN MANDRAWADKAR

2.
Artificial Intelligence
• Artificial intelligence (AI) is the ability
of a computer or a robot controlled by
a computer to do tasks that are usually
done by humans because they require
human intelligence and discernment.
• The field was founded on the
assumption that human intelligence
"can be so precisely described that a
machine can be made to simulate it".
• This raises philosophical arguments
about the mind and the ethics of
creating artificial beings endowed with
human-like intelligence.

3.
What is AI for normal layman?
• In layman's term, Artificial
Intelligence is giving the abilities to a
machine for performing a task that
reduces human effort.
• This ability is given with the help of
programming tools and techniques
that we created for incorporating the
machine with the potentiality of
accomplishing work without human
interference.

4.
What are the types and benefits of Artificial Intelligence

5.
Types of Artificial Intelligence
1. Narrow AI: It is a AI which is able to
perform a dedicated task with
intelligence. The most common and
currently available AI is Narrow AI in the
world of Artificial intelligence.
2. General AI: It is a type of intelligence
which could perform any intellectual
task with efficiency like a human.
3. Super AI: It is a level of Intelligence of
Systems at which machines could
surpass human intelligence, and can
perform any task better than human
with cognitive properties. It is an
outcome of general AI.

6.
Types of Artificial Intelligence
1. Reactive Machines: These machines only
focus on current scenarios and react on it
as per possible best action.
2. Limited Memory: It can store past
experience or some data for a short period
of time. These machines can use stored
data for a limit time period only.
3. Theory of Mind: It should understand the
human emotions, people, beliefs, and be
able to interact socially like humans. It still
not developed.
4. Self-Awareness: This machines will be
smarter than human mind. It does exist still
in reality and hypothetical concept.

7.
Benefits of Artificial intelligence
• New Inventions
• Smart Decision Making
• Enhanced customer experience
• Medical Advances
• Research and data analysis
• Solving complex problems
• Managing repetitive task
• Minimizing errors

8.
e-Commerce
• E-commerce (electronic
commerce) is the buying and
selling of goods and services, or
the transmitting of funds or data,
over an electronic network,
primarily the internet.
• These business transactions occur
either as business-to-business
(B2B), business-to-consumer
(B2C), consumer-to-consumer or
consumer-to-business.

9.
Is AI meant only for eCommerce ?
• E-commerce retailers are increasingly
turning towards chatbots or digital
assistants to provide 24×7 support to their
online shoppers.
• Built using AI technologies, chatbots are
getting more intuitive and are enabling a
better customer experience. Provide
personalized or targeted offers to
customers.
• The use of artificial intelligence in online
shopping is transforming the E-commerce
industry by predicting shopping patterns
based on the products that shoppers buy
and when they buy them.

10.
Ways To Use Artificial Intelligence In eCommerce.
• Create customer-centric search.
• Retarget potential customers.
• Identify exceptional target prospects.
• Empower store workers.
• Improve recommendations for
customers.
• Introduce virtual personal shoppers.
• Work with intelligent agents.
• Bridge the gap between
personalization and privacy.

11.
AI in Automobile Industry
• The use of AI in vehicle manufacturing
helps automakers reduce manufacturing
costs and provides a safer and more
efficient factory floor.
• Technologies such as Computer Vision
enables easy identification of product
anomalies.
• ML algorithms can be utilized for
prototyping products and simulation.
• AI-powered solutions can collect and
process enormous amounts of vehicle
data, provide actionable insights, and
increase privacy and data security.
• AI powers autonomous driving, allowing
the real-time recognition of objects
around the vehicle, enhancing
maintenance and fleet management.

12.
Use of AI in Auto Mobile Industry
• Increased safety of the driver.
• Reduced failures due to consistent quality
control.
• Refined driving experience.
• Lesser probability of equipment failure.
• Rise in productivity due to robot-human
collaboration.
• Better project management.
• Improved after-sales support components
going into cars and trucks.

13.
AI in Retail Industry
• AI helps retailers improve demand forecasting,
make pricing decisions, and optimize product
placement.
• As a result, customers connect with the right
products, in the right place, at the right time.
Predictive analytics can help you order the right
amount of stock so that stores won't end up
with too much or too little.
• Stores are also using AI and advanced
algorithms to understand what a customer
might be interested in based on things like
demographic data, social media behavior, and
purchase patterns.
• Using this data, they can further improve the
shopping experience and personalized service,
both online and in stores.

14.
Use of AI in Retail industry
• Captivate Customers
• Create Exciting Experience
• Create Insights from Disparate
Data
• Synchronize Offline & Online Retail
• Empower Flexible Logistics
Networks

15.
AI in Travel Industry
• AI, travelers no longer need to visit travel
agencies to book flights or search for
accommodation.
• AI assistants and Intelligent chatbots have
now taken the place of travel agents
allowing travelers to book flights and
accommodation and hire vehicles online.
• AI in travel and tourism is being used to
predict travel choices, personalize
services, complete bookings and manage
in-trip and post-trip needs.
• A travel app for iPhones, combined AI
with human agents to provide assistance
for hotel bookings, flight schedules and
advice on restaurants.

16.
Use of AI in Travel Industry
• AI Assistants For Travel Booking
• Robots For Face-to-Face Customer
Services
• AI-Driven Applications For Flight
Forecasting
• Smart Baggage Handling
• Personalized Travel Planning
• Room Mapping + Dynamic Price
Tracking

17.
AI in Banking Industry
• AI powered systems can appraise customer
credit histories more accurately to avoid this
level of default.
• Mobile banking apps track financial
transactions and analyze user data. This helps
banks anticipate the risks associated with
issuing loans, such as customer insolvency or
the threat of fraud.
• The banking sector extensively uses AI and ML
to automate processes and make them easier.
• A few major use-cases where these emerging
technologies used are: AI and ML for fraud
detection: Theft, fraud, and security penetrate
the banking area because of the sensitive
information and cash.

18.
Use of AI in Banking industry
• Mobile banking
• AI Chat Bots
• Data collection and analysis
• Risk management
• Transaction Data Enrichment
• Data security

19.
AI in Real Estate Industry
• “As futuristic as it sounds, artificial intelligence is already
here,” says Inman’s technology correspondent Jim
Dalrymple.
• “Thousands of agents and homeowners are already
using it, and many more are influenced by the invisible
calculations AI makes behind the scenes.
• Bots, in some form or another, are literally determining
everything from home prices to the color of paint
would-be buyers see in listing photos.
• With all eyes on AI, it’s clear that this technology will
impact the future of real estate in a big way.
• Real estate companies are increasingly using artificial
intelligence in every aspect of buying, selling and home
financing.
• Algorithms can now go through millions of documents in
seconds, looking through property values, debt levels,
home renovations, and even some of a homeowner's
personal information.

20.
Use of AI in Real Estate Industry
• Predicting property prices
• Key applications
• Property analysis and
recommendation

21.
Will Artificial Intelligence enhance the customer
experience.
1. Offer proactive and
personalized customer service.
2. Improve lead generation.
3. Generate data-driven customer
insights.
4. Customize content.
5. Streamline workflows.
6. Prevent employee burnout.

22.
AI changing customer Experience for Ecommerce
Buyers
• By using AI, eCommerce sites are able to
create personalized online experiences and
recommend products uniquely suited to each
shopper.
• Personalized marketing using AI has proven
successful for companies like Amazon and
Netflix, who were early adopters of the
technology.
• The internet provides consumers with an
unprecedented amount of information and
options, but it also makes conversions harder
for businesses, due to abundant options and
price matching. With AI, businesses can use
algorithms to gain insight into the wants and
needs of the consumer.

23.
• A company’s online reputation can make or
break their business.
• A customer can rate their experience, and
they can take a photo of a product and
share it with others or tweet it.
• Ecommerce might not have control over
customer behavior, but what they can
control is building the best online brand.
• Customer experience is a new way of
marketing.
• A brand is defined by those who
experiences. Meeting customer demands is
crucial for a memorable ecommerce
experience.
AI changing customer Experience for Ecommerce
Buyers

24.
• AI customer experience creates hyper-
relevant digital ads
• AI customer experience powers
personalized search
• AI customer experience helps customers
find the best price
• AI customer experience provides immediate
answers to customer questions
• AI customer experience anticipates and
prevents issues
• AI customer experience empowers
customers to get 24/7 support across every
channel
• AI customer experience eliminates the
hassle of returns
AI changing customer Experience for Ecommerce
Buyers

25.
Will AI be affecting/replacing the roles of customer
services and sales teams.
• AI, in it’s various incarnations, gives customer
service departments the ability to do more, thus
improving the customer experience.
• Chatbots, for example, can handle multiple
queries at once.
• This saves time and manpower, as well as helps
the customer address issues more efficiently.
• Artificial intelligence (AI) and customer
relationship management (CRM) software are
paving the path to that future.
• Together, the technologies can automate routine
tasks, freeing up human agents and providing
them with data-driven insights to help swiftly
resolve customer problems.

26.
• Gain real-time insights across all customer contact
channels.
• Optimize agent availability, wait times, and
opportunities for proactive service delivery.
• Automatically escalate and classify cases using
sensitivity and domain expertise predictive
analytics.
• Power chatbots to deliver knowledge using
automated workflows.
• Enable field agents to deliver service based on
access to CRM data.
• Deliver personalized services anywhere.
• Optimize scheduling and routing using complete
CRM data.
Will AI be affecting/replacing the roles of customer
services and sales teams.

27.
Sony – Neural Network Libraries available in open
source
• Sony has made available in open source its
“Neural Network Libraries” which serve as
framework for creating deep learning
programmes for AI.
• Software engineers and designers can use
these core libraries free of charge to develop
deep learning programmes and incorporate
them into their products and services.
• This shift to open source is also intended to
enable the development community to further
build on the core libraries’ programmes.
• Deep learning refers to a form of machine
learning that uses neural networks modelled
after the human brain.

28.
Intel – AI for cardiology treatment
• Precision medicine for cancers requires the delivery of
individually-adapted medical care based on the genetic
characteristics of each patient.
• The last decade witnessed the development of high-
throughput technologies such as next-generation
sequencing, which paved their way in the field of
oncology.
• While the cost of these technologies decreases, we are
facing an exponential increase in the amount of data
produced.
• In order to open the access to more and more patients to
precision medicine-based therapies, healthcare providers
have to rationalise both their data production and
utilisation and this requires the implementation of the
cuttingedge technology of high-performance computing
and artificial intelligence.

29.
Philips – AI in clinics and hospitals
• With the clinical introduction of digital
pathology, pioneered by Philips, it has become
possible to implement more efficient pathology
diagnostic workflows.
• This can help pathologists to streamline
diagnostic processes, connect a team, even
remotely, to enhance competencies and
maximise use of resources, unify patient data
for informed decision-making, and gain new
insights by turning data into knowledge.
• Philips is working with PathAI to build deep
learning applications. By analysing massive
pathology data sets, we are developing
algorithms aimed at supporting the detection
of specific types of cancer and that inform
treatment decisions.

30.
• One of Vodafone’s implementations is Julia,
a digital employee who resides on the
Vodafone website. Developed using the
resources of just three content managers,
Julia is the trustworthy, reliable employee
that customers turn to for personalized,
round the clock support with a wide range
of issues.
• Equipped with the intelligence to learn,
reason and understand, and then apply this
knowledge to real customer interactions,
Julia not only assists customers with a range
of tasks from technical support to invoicing
queries, but provides vital, insightful data
back to Vodafone.
Vodafone AI Case Study

31.
Global Med Tech Company
• Employing more than 90,000 people worldwide,
serving physicians, hospitals and patients in over 150
countries, the company is one of the world’s largest
medical technology companies.
• It uses Tecno, Artificial Solutions’ award-winning
conversational AI development platform, throughout
its organization to enhance customer service,
increase employee satisfaction and improve
operational efficiencies.
• With the assistance of partner Deloitte, the company
uses Teneo to build advanced chatbots that span a
range of use cases.
• These vary from assisting patients and healthcare
workers, to answering the queries of the company’s
HR managers scattered across the globe.

32.
Automobile AI Case Study - Tesla Car
• The counterfeit of human intelligence in machine that
are lined up to think like human and mock their actions.
• Therefore, the word used in the present technological
advance world is artificial intelligence.
• The term defined by human skills and allude to be used
in the future.
• It is applied in various field and industries.
• In the Indian market artificial intelligence is blooming
like budding flower, whereas in the global Market the
penetration of artificial intelligence started in 20th
century.
• The structural usage of artificial intelligence makes the
company perform better and produce high end result.
• The present advancement of technology is witnessing
devices which are providing superior experience in
internet on things. Mobile Applications are finding a
substantial space in the market and are becoming the
high choice of customers today.

33.
Keywords: AI, automobile, self-start cars, high
performance, Chabot, virtual assistant
Objective:
1. To study the overview of tesla car manufacturing
company
2. To study the concept of introducing AI in tesla
automobile company.
3. To study the NLP’s (natural language processing) success
for high performance in tesla
cars.
Methodology
The paper is study from the secondary data sources using
the official website, paper
publication in the international journal, newspaper articles
and a few other sources.
Limitation:
This study is limited for case study on tesla cars and use of
AI.

34.
Amazon Web Services AI Case Study
• The clear leader in cloud computing, AWS offers
both consumer and business-oriented AI
products and services, and many of its
professional AI services build on the Ai services
available in consumer products.
• Amazon Echo brings artificial intelligence into
the home through the intelligent voice server,
Alexa.
• For AWS, the company’s primary AI services
include Lex, a business version of Alexa; Polly,
which turns text to speech; and Rekognition, an
image recognition service.

35.
Retail stores AI Case Study - Digital Shopping Assistant Abzooba:
• A ‘Style BOT’ solution has been developed and
made available in Facebook messenger which
includes the following features:
• Guided search
• Natural language search – Text and Voice
• Visual search
• Build fashion profiles based on customer
engagements
• Recommend products
• Provide notifications to users
• Offer coupons
• Chat with (human) specialist along with context
passing
• Business Benefits:
• Net promoter score increased to 80% after the
solution was deployed

36.
Stay tuned for more
updates/insights
Kiran Mandrawadkar
Director – DIGITAL (IMC)
+91 9886 733 833